🎿 @ZephyrAdvGrp 🇺🇸 ‘Global macro is like a drug, views are mine. ♥ #lover of all asset classes, #alpha is always there if you can find it.’ 💎 $BTC 2013 🪙

Joined September 2009
662 Photos and videos
📌 Follow the @Scobleizer aka Robert Scoble and be sure to check out his 𝕏 Lists. 🍄 x.com/scobleizer/lists 🏁 💡From topics and domains that generate economic productivity, spark hobbyist interests, emerging technology breakthroughs and the spectrum of hardware, software, and AR/VR or XR at the intersection of robotics. 💡Scoble's 𝕏 Lists are the closest thing to an intelligent lived experienced knowledge base alpha database for science, technology, and creative discipline ontologies. These lists were recursive before most of the world knew what that word meant. 🔔His donation of countless years contributing to the timeline but also in spaces should earn him a Bell Award. He has certainly earned my nomination for quality content on X (and any social media platform for that matter). #bellaward @adiboaron94 🔔This award is unique in that it objectively looks at the creator, the individual content produced and the perceived value to the platform without consideration for follower or subscriber counts. **I know he has a lot of followers which is a social proof in itself, but this is a different path into very high value small accounts.** 💡It's a great starting point for the average user, but a frontier of truly infinite possibilities if you have access to the 𝕏 API. 💡Real-time tracking, tagging, account IDs, organization, a data repository one could see as social value agnostic of bias from follower count. These can be a foundation for additional hierarchies of attributions and qualitative keywords; think of it like a game of ontological cross-domain 'connect the dots' if you will. 💡My main utility in being drawn to the library of lists (aside from an excellent source for inherently high quality 𝕏 Pro inputs) is the wide userbase that can find their own niche content in curating a project or customizing their 𝕏 user experience. 💎If 𝕏 were to have a graph database with @neo4j overlay to further dive into these lists, that would be a cool project and a feature I'd probably use often. XR capabilities would be neat, obviously further the road along with 3D displays (with no glasses) to view the GraphQL-type relationships. @engineering @XCreators @premium

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Ale𝕩ander Moore, CPA 🇺🇸 retweeted
Magnetic Flux Turns a Torus Into a Wavefunction A quantum particle is confined to a torus, with magnetic flux threading through its two closed cycles. The eigenstates are twisted momentum waves, Ψₘₙ(u,v) = exp(i(mu nv)), but the flux shifts their energies to Eₘₙ = ½[(m−φᵤ)² (n−φᵥ)²], changing how the superposition beats over time. In this scene, the torus is the quantum configuration space. Its surface swells with |Ψ|², its colours follow arg Ψ, and the magnetic flux turns the wavefunction into a luminous braid wrapped around a multiply connected universe. #QuantumMechanics #MathematicalPhysics #Wavefunction #AharonovBohmEffect #QuantumArt #PhysicsVisualization
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Ale𝕩ander Moore, CPA 🇺🇸 retweeted
🚨 AI JUST DESIGNED A MATERIAL STRONGER THAN STEEL, LIGHTER THAN FOAM AND UP TO 5× STRONGER THAN TITANIUM. Researchers used machine learning to discover entirely new microscopic lattice structures that were then 3D-printed into carbon nanolattices. The result is a mechanical metamaterial that combines properties previously thought to be impossible together: extreme strength with ultra-low weight. Why this matters: • Aerospace and automotive industries could build dramatically lighter vehicles and aircraft without sacrificing strength • Construction and infrastructure could use stronger, lighter components • Medical implants and protective gear could become both tougher and more comfortable • It proves AI can now design physical matter at the structural level exploring geometries no human engineer would have thought of The deeper implication is huge: We are moving from discovering materials that already exist in nature… to inventing entirely new classes of matter with properties we specify. AI isn’t just writing code or generating images anymore. It’s helping us build the physical world from the inside out. What industry do you think will be transformed first by these AI-designed super-materials? Follow for more frontier science and future technology.
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Ale𝕩ander Moore, CPA 🇺🇸 retweeted
Jun 10
macOS 27 Golden Gate is coming—and it's designed exclusively for Arm-based Apple silicon. Another strong signal that the future of computing is AI-native and built on Arm. 🚀 okt.to/Tu6VZ8
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Ale𝕩ander Moore, CPA 🇺🇸 retweeted
When Software Touches The World, Latency Becomes Physics In the age of AI, it is tempting to think that programming is becoming less important because large language models can write code, debug code, and even help design algorithms. But the moment software touches hardware, the problem changes. #AIHardware #Robotics #ControlSystems #EmbeddedAI #PhysicalComputing #EngineeringReality
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Ale𝕩ander Moore, CPA 🇺🇸 retweeted
The open vs. closed AI debate has a new answer: Both. Our CEO Jensen Huang said it at #NVIDIAGTC: "Proprietary versus open is not a thing. It's proprietary AND open." Enterprise AI isn't one monolithic model — it's an orchestrated system tuned for your data, your workflows, your industry. 🏥 Healthcare. 💰 Finance. 🏭 Manufacturing. Every vertical needs AI built for its problems. The Nemotron Coalition was built for this — a global collaboration of AI labs advancing open frontier models, with 45M Hugging Face downloads and growing. The real question for CxOs and tech leaders: do you have the agentic AI stack to orchestrate both? nvda.ws/43tkkQw
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Ale𝕩ander Moore, CPA 🇺🇸 retweeted
Say hello to DiffusionGemma. 👋 @GoogleGemma’s new open model generates text in parallel, not one token at a time, helping deliver faster, more responsive AI on NVIDIA DGX Spark & RTX GPUs. Get started: nvda.ws/3Sxeonb
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Ale𝕩ander Moore, CPA 🇺🇸 retweeted
Today I'm publishing a new essay, Policy on the AI Exponential. AI is progressing extremely fast—much faster than the policy process was built to handle. The essay lays out where I think the technology is now, and the action needed to close the gap: darioamodei.com/post/policy-…
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Ale𝕩ander Moore, CPA 🇺🇸 retweeted
Congrats to @GoogleDeepMind on the launch of DiffusionGemma. The model generates 256 tokens in parallel per step, delivering 150 TPS on DGX Spark, and 1,000 TPS on a single H100. We're supporting it from day one with: • BF16 and NVFP4 checkpoints on @huggingface🤗 • Free GPU-accelerated endpoints on build.nvidia.com@vllm_project support with FP8 precision Get started with DiffusionGemma on NVIDIA: nvda.ws/43ro19u
DiffusionGemma, our experimental open model released under an Apache 2.0 license, explores text diffusion, an exceptionally fast approach to text generation. Here’s how DiffusionGemma accelerates development: Faster token output: By shifting the bottleneck from memory bandwidth to raw compute, the model generates up to 4x faster token output on dedicated GPUs Accessible hardware footprint: Activates just 3.8B parameters during inference, fitting comfortably within 24GB-VRAM high-end consumer GPUs when quantized Novel workflows: Parallel token generation enables self-correction, making it ideal for code infilling, in-line editing, and non-linear structures DiffusionGemma prioritizes speed over raw quality and accelerates best on compute-bound hardware (like @NVIDIAAI GPUs). Standard @GoogleGemma 4 remains recommended for production quality and memory-bound devices.
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Ale𝕩ander Moore, CPA 🇺🇸 retweeted
Jun 10
Meet DiffusionGemma ⚡ Our latest experimental open model (Apache 2.0) that generates text up to 4x faster. Instead of predicting and typing just one word at a time like most language models, it drafts and refines entire blocks of text simultaneously. Here’s how it works 🧵 ↓
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Ale𝕩ander Moore, CPA 🇺🇸 retweeted
Jun 9
We’re expanding international coverage, speed, security and connectivity for Google Fi Wireless with new updates, all included in our Unlimited Premium plan at no extra cost: 🛜 Our most seamless connectivity yet 🏃 5G speed in 22 new locations 🔒 VPN availability in more top travel destinations 🤝 Wi-Fi Auto-Connect in even more places ✅ Easy setup and proactive support 💰Limited-time savings for new subscribers
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Ale𝕩ander Moore, CPA 🇺🇸 retweeted
“FlashMemory-DeepSeek-V4: Lightning Index Ultra-Long Context via Lookahead Sparse Attention” With how Long context LLMs are being bottlenecked by KV cache, because every old token keeps consuming GPU memory even when most of it is irrelevant, this paper turns long context into retrieval. They used a small Memory Indexer to predict which old KV chunks the model will need soon, keeps only those on GPU, and leaves the rest offloaded. This provides 13.5% average KV cache footprint, up to 90% memory reduction at 500K context, with slightly better accuracy than DS V4 Flash.
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gemini flash 3.5 (high) will make you check twice that you used the flash version. it’s that good.
Gemini 3.5 Flash can process complex visual data and translate it into functional, interactive code. Watch Gemini analyze lighting from a reference image, and build an interactive 3D visualizer to preview the setup.
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Ale𝕩ander Moore, CPA 🇺🇸 retweeted
Claude Fable 5, @AnthropicAI's latest frontier model, is now generally available to all customers in Agent Platform. Discover how enterprise teams can start building at scale with Claude Fable 5 on Google Cloud today → goo.gle/4vJ5tOa
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